Data MI Analyst (Power Bi)
Posted 10 days 22 hours ago by Taylor James Resourcing
Quick Registration: First Name , Last Name , E-mail , Phone , Sector, Location
Our client is a Global Financial Broking firm in London.
Client Onboarding KYC Associate5 days a week in London.
Administration Assistant - Financial ServicesOur client is a Financial Market making company in London.
Our client is a Wealth and Asset Management firm in London.
Date: 10 Sep 2024
Sector: FINANCIAL MARKETS
Type: Permanent
Location: London
Salary: £30,500 - 32,000 per annum
Email:
Ref: db433452
We are looking for a Numerate Graduate with at least 1 year of Financial Data and MI Modelling analyst experience.
The role involves providing analytical support to the business and liaising with other departments internally to successfully distribute/extract pertinent information.
The successful candidate will be involved in:
- Financial modelling and review of business opportunities
- Providing analytical and administrative support
- Management sales reporting and tracking
- Providing financial information, insights, and analysis to management for timely decision-making
- Ad hoc reporting on trade deals to assist team management with performance, client tenders, and strategy
- Cost analysis on the broking team group-wide
- Liaising with data scientists to extract data and create real-time reports
- Analyzing and supporting improvements to broking data
- Supporting broking financial systems
- Contributing to key projects and initiatives
- Supporting administrative functions, including financial analysis of the broking segment
- Setting up and reporting on Capital and signage spend
- Business Intelligence reporting
- Developed and proven analytical skills
- Understanding of economics supporting UK business
- Financial numeracy with strong MS Excel skills
- Knowledge of Power BI for data extraction and analysis
- Good interpersonal skills for interaction with various departments
- Flexibility to adapt to evolving roles
- Budget awareness
- Efficiency and collaboration skills